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Machine learning algorithms for predicting low birth weight in Ethiopia

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2022
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Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

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80 Mendeley
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Title
Machine learning algorithms for predicting low birth weight in Ethiopia
Published in
BMC Medical Informatics and Decision Making, September 2022
DOI 10.1186/s12911-022-01981-9
Pubmed ID
Authors

Wondesen Teshome Bekele

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 8 10%
Researcher 5 6%
Lecturer 5 6%
Other 4 5%
Student > Master 3 4%
Other 10 13%
Unknown 45 56%
Readers by discipline Count As %
Medicine and Dentistry 10 13%
Unspecified 8 10%
Nursing and Health Professions 5 6%
Computer Science 3 4%
Engineering 2 3%
Other 9 11%
Unknown 43 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2022.
All research outputs
#21,083,049
of 23,727,139 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,845
of 2,029 outputs
Outputs of similar age
#347,438
of 435,109 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#39
of 54 outputs
Altmetric has tracked 23,727,139 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,029 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 435,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.